Table 2.
Associations between snakebite and sociodemographic characteristics (total population: N = 382)
| Characteristics | N (total) | N (bitten) | % Bitten | Model 1,* OR (95% CI) | Model 2,† OR (95% CI) |
|---|---|---|---|---|---|
| Sex | |||||
| Male | 194 | 30 | 15.5 | Ref | Ref |
| Female | 188 | 20 | 10.6 | 0.72 (0.38–1.34) | 0.61 (0.30–1.24) |
| County | |||||
| Kajiado | 100 | 7 | 7.0 | Ref | Ref |
| Kilifi | 93 | 13 | 14.0 | 1.51 (0.55–4.16) | 1.59 (0.56–4.46) |
| Kwale | 89 | 16 | 16.9 | 1.82 (0.67–4.93) | 2.10 (0.71–6.27) |
| Taita Taveta | 100 | 15 | 15.0 | 1.63 (0.61–4.37) | 1.73 (0.59–5.13) |
| Level of education‡ | |||||
| No formal schooling | 72 | 11 | 15.3 | Ref | Ref |
| Lower | 175 | 27 | 15.4 | 1.14 (0.51–2.54) | 0.84 (0.35–2.04) |
| Higher | 135 | 12 | 8.9 | 0.67 (0.27–1.68) | 0.43 (0.14–1.37) |
| Occupation§ | |||||
| Agricultural | 178 | 27 | 15.3 | Ref | Ref |
| Indoor-based | 108 | 9 | 7.4 | 0.57 (0.24–1.34) | 0.75 (0.27–2.04) |
| Unemployed | 83 | 10 | 12.1 | 1.08 (0.47–2.49) | 1.32 (0.53–3.33) |
| Retired | 13 | 5 | 38.5 | 2.13 (0.59–7.71) | 2.31 (0.56–9.50) |
CI = confidence interval; OR = odds ratio; Ref = reference.
*
Variables were entered separately into the model. The model was corrected for age of the respondent.
†
All variables were entered simultaneously into the model. The model was also corrected for age of the respondent.
‡
Low: pre-primary, primary; High: vocational secondary, secondary, post-secondary, university.
§
Agricultural: herding, farming; Indoor-based: shop/service worker, teacher, civil servant, health worker, student, small business owner.